AI prompt library: templates for work and everyday life

Please conduct a comprehensive code review for the following [PROGRAMMING LANGUAGE] code.

Systematically analyze the following aspects:

**Code Quality & Readability:**
- Adherence to Clean Code principles
- Meaningful variable and function names
- Appropriate comments and documentation
- Consistency in coding style

**Functionality & Logic:**
- Correctness of implementation
- Edge cases and error handling
- Potential bugs or unexpected behavior

**Performance:**
- Inefficient algorithms or data structures
- Unnecessary computations or redundant code
- Optimization opportunities

**Security:**
- Potential security vulnerabilities (injections, XSS, etc.)
- Insecure data handling
- Missing validations

**Output Format:**
Structure your review as: Critical Issues → Important Improvements → Minor Suggestions → Positive Aspects

For each issue, provide a concrete improvement suggestion with a code example.

Code:
```[PROGRAMMING LANGUAGE]
[INSERT CODE HERE]
```

Replace placeholders in [square brackets]

Tips for better results

• Specify the programming language and framework explicitly for more accurate recommendations
• Add context: Is it production code? A prototype? What are the performance requirements?
• Request focus areas: 'Focus on security' or 'Prioritize performance'
• Ask the AI to provide improvement suggestions with concrete code examples

Suitable open models

• Qwen3.8 27B
• DeepSeek V4.1 Flash
• Gemma 4 31B

The selection names current open models as a starting point for your own tests. It is not a measurement for this template.